Senior Product Manager (Creatives)

Required Qualifications

• Own the strategy, roadmap, and end-to-end delivery for a portfolio spanning the video/CTV creative builder, AI-generated and brand content products, and creative integrations with social and partner platforms.
• Lead 0→1 initiatives from first principles — research and validate the problem, frame the opportunity, define the path forward, and drive it to launch and adoption.
• Translate complex, cross-team problems into a clear vision and crisp, actionable requirements that give Engineering, Design, and QE unambiguous direction on how features should behave.
• Partner with Data Science and Engineering to shape how AI/ML and generative content capabilities are applied across creative formats, making sound technical trade-offs along the way.
• Define key success metrics, monitor KPIs, and make data-informed decisions about what to build, what to cut, and what to double down on.
• Work hand-in-hand with Creative Studio to ensure the tooling reflects real creative workflows and produces work that meets a high creative and brand bar.
• Build new integrations with external platforms, partnering across teams to open up a wider range of creative assets and ad formats within the creative library.
• Communicate precisely and proactively across the organization, keeping stakeholders aligned and informed at the right level and the right time.
• Support customer-facing teams by resolving questions about your portfolio and helping triage bugs and regressions as they appear.
• Proven experience as a Product Manager at a technology company, with a track record of shipping large, complex software products end-to-end (and you can speak to your successes).
• Demonstrated success leading 0→1 initiatives that span multiple teams — you bring structure and direction to new problem spaces and rally others around a clear plan.
• Experience building products in AdTech, MarTech, or creative platforms, with a meaningful edge for those who’ve worked on creative-building or generative AI products.
• Strong fluency with AI/ML and generative AI concepts — enough to partner deeply with Data Science and Engineering, reason about capabilities and limitations, and make informed product decisions.
• A technical background (Computer Science, Engineering, or equivalent hands-on experience) that lets you discuss technical trade-offs, integrations, and architecture credibly with engineers.
• A keen design and creative sense, balanced with technical depth — you pair an eye for what “great” looks like with the ability to partner closely with engineering on how to build it.
• An excellent cross-functional collaborator who can tailor your approach across Engineering, Design, Creative Studio, Data Science, and Revenue without skipping a beat.
• Clear, structured writing and communication — you distill complex ideas into words that build consensus and align stakeholders around your vision.
• Strong prioritization instincts grounded in reason, clarity, and purpose — you focus the team on the most impactful work and the KPIs you’re moving.
• A leadership style rooted in influence rather than formal authority, and the judgment to operate independently in a fast-moving, evolving space.